Commenced in January 2007
Paper Count: 31440
A Low-Cost Air Quality Monitoring Internet of Things Platform
Abstract:In the present paper, a low cost, compact and modular Internet of Things (IoT) platform for air quality monitoring in urban areas is presented. This platform comprises of dedicated low cost, low power hardware and the associated embedded software that enable measurement of particles (PM2.5 and PM10), NO, CO, CO2 and O3 concentration in the air, along with relative temperature and humidity. This integrated platform acts as part of a greater air pollution data collecting wireless network that is able to monitor the air quality in various regions and neighborhoods of an urban area, by providing sensor measurements at a high rate that reaches up to one sample per second. It is therefore suitable for Big Data analysis applications such as air quality forecasts, weather forecasts and traffic prediction. The first real world test for the developed platform took place in Thessaloniki, Greece, where 16 devices were installed in various buildings in the city. In the near future, many more of these devices are going to be installed in the greater Thessaloniki area, giving a detailed air quality map of the city. Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 312
 W. Y. Yi, K. M. Lo, T. Mak, K. S. Leung, Y. Leung, and M. L. Meng, “A survey of wireless sensor network based air pollution monitoring systems,” Sensors (Switzerland), vol. 15, no. 12, pp. 31392–31427, 2015, doi: 10.3390/s151229859.
 W. Jiao et al., “Community Air Sensor Network (CAIRSENSE) project: Evaluation of low-cost sensor performance in a suburban environment in the southeastern United States,” Atmos. Meas. Tech., vol. 9, no. 11, pp. 5281–5292, 2016, doi: 10.5194/amt-9-5281-2016.
 S. Moltchanov, I. Levy, Y. Etzion, U. Lerner, D. M. Broday, and B. Fishbain, “On the feasibility of measuring urban air pollution by wireless distributed sensor networks,” Sci. Total Environ., vol. 502, pp. 537–547, 2015, doi: 10.1016/j.scitotenv.2014.09.059.
 W. Jiao, G. S. W. Hagler, R. W. Williams, R. N. Sharpe, L. Weinstock, and J. Rice, “Field assessment of the village green project: An autonomous community air quality monitoring system,” Environ. Sci. Technol., vol. 49, no. 10, pp. 6085–6092, 2015, doi: 10.1021/acs.est.5b01245.
 G. R. McKercher, J. A. Salmond, and J. K. Vanos, “Characteristics and applications of small, portable gaseous air pollution monitors,” Environ. Pollut., vol. 223, pp. 102–110, 2017, doi: 10.1016/j.envpol.2016.12.045.
 L. Morawska et al., “Applications of low-cost sensing technologies for air quality monitoring and exposure assessment: How far have they gone?,” Environ. Int., vol. 116, no. April, pp. 286–299, 2018, doi: 10.1016/j.envint.2018.04.018.
 E. G. Snyder et al., “The changing paradigm of air pollution monitoring,” Environ. Sci. Technol., vol. 47, no. 20, pp. 11369–11377, 2013, doi: 10.1021/es4022602.
 Honeywell, “HPM Series Particulate Matter Sensors.” p. 11, 2019.
 Spec Sensors, “DGS-O3 968-042 Digital Gas Sensor – Ozone Sensor.” 2020.
 Spec Sensors, “DGS-NO2 968-037 Digital Gas Sensor – Nitrogen Dioxide.” 2020.
 E.-G. S. L. Management, “0.02-4.8V CO, H2, H2S, No2 O2 sensor.” 2020.
 “Sympnia.” (Online). Available: https://sympnia.gr/. (Accessed: 07-Sep-2020).
 C. Spandonidis and C. Giordamlis, “Data-centric Operations in Oil & Gas Industry by the Use of 5G Mobile Networks and Industrial Internet of Things (IIoT),” in Thirteenth International Conference on Digital Telecommunications (Icdt 2018), 2018, no. April, pp. 1–5.
 Espressif Systems, ESP8266 Technical Reference. 2020.
 S. Tsantilas, C. Spandonidis, F. Giannopoulos, N. Galiatsatos, D. Karageorgiou, and C. Giordamlis, “A comparative study of wireless communication protocols in a computer vision system for improving the autonomy of the visually impaired,” J. Eng. Sci. Technol. Rev., vol. 13, no. 1, pp. 72–76, 2020, doi: 10.25103/jestr.131.10.
 Draxis Environmental S.A., “Envi4all.” (Online). Available: http://envi4all.eu/. (Accessed: 13-Sep-2020).
 N. Themelis, C. Spandonidis, and C. Giordamlis, “Data acquisition and processing techniques for a novel performance monitoring system based on KPIs,” in Sustainable Development and Innovations in Marine Technologies - Proceedings of the 18th International Congress of the International Maritime Association of the Mediterranean, IMAM 2019, 2019, no. March 2020, pp. 306–315, doi: 10.1201/9780367810085-40.